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105 results for “river flow”
Fig. 4 in Flowing into the unknown: inferred paleodrainages for studying the ichthyofauna of Brazilian coastal rivers
Fig. 4. Results of correlation tests: a. between the paleodrainage total area with contemporary land area encompassed by each paleodrainage (r2 = 0.99; P <0.0001); b. the number of contemporary basins encompassed by each paleodrainage (r2 = 0.17; P <0.0001); and c. between the contemporary land area and the area of the continental shelf exposed during the drop in sea level (r2 = 0.04; P = 0.01). Individual values per paleodrainages are given in Tab. 1.
Fig. 3 in Flowing into the unknown: inferred paleodrainages for studying the ichthyofauna of Brazilian coastal rivers
Fig. 3. Map of the 145 palaeodrainages inferred for a sea level retreat of -125 m during glacial periods of the Pleistocene; the black line marks the current coastline of Brazil. Both the area that includes the contemporary exposed land area, as well as the area of the continental shelf exposed when sea levels dropped (marked with stippling) is shown for each paleodrainage, with each paleodrainage shown in a different colour. Numbers along the coast indicate the paleodrainage ID on Tab. 1.
Fig. 1 in Flowing into the unknown: inferred paleodrainages for studying the ichthyofauna of Brazilian coastal rivers
Fig. 1. Map of the Brazilian coast showing main river drainages, bays, lagoons and mountain chains. Elevation and bathymetric profile for the area highlight the isolation of the coastal basins from inland rivers by mountains, including the Serra do Mar and the Chapada Diamantina in the west. Continental shelf exposed during the Pleistocene is marked with the stippled yellow shading.
Fig. 2 in Flowing into the unknown: inferred paleodrainages for studying the ichthyofauna of Brazilian coastal rivers
Fig. 2. Samples of some of the freshwater fish species of the Brazilian coastal drainages: a. Microglanis cottoides ((Boulenger, 1891) UFRGS 20930; 43.2 mm SL, standard length), b. Heptapterus sp. (UFRGS 20970; 89.2 mm SL), c. Phalloceros sp. (UFRGS 18596; 22 mm SL), d. Deuterodon singularis Lucena & Lucena, 1992 (UFRGS 20728; 59.6 mm SL), e. Scleromystax barbatus ((Quoy & Gaimard, 1824) UFRGS 18832; 65 mm SL), f. Pareiorhaphis splendens ((Bizerril, 1995) UFRGS 20971; 57.4 mm SL), g. Spintherobolus ankoseion Weitzman & Malabarba, 1999 (UFRGS 20923; 23.7 mm SL), h. Cyphocharax santacatarinae ((Fernández-Yépez, 1948) UFRGS 20918; 46.9 mm SL), i. Corydoras ehrhardti Steindachner, 1910 (UFRGS 20938; 50 mm SL), j. Mimagoniates lateralis ((Nichols, 1913) UFRGS 20488; 30.5 mm SL), k. Trichomycterus cf. cubataonis Bizerril, 1994 (UFRGS 20937; 30 mm SL), l. Parotocinclus maculicauda ((Steindachner, 1877) UFRGS 20932; 44.1 mmSL), m. Probolodus oyakawai Santos & Castro, 2014 (UFRGS 18752; 45 mm SL), n. Mimagoniates rheocharis Menezes & Weitzman, 1990 (UFRGS 20808; 54.2 mm SL), o. Geophagus brasiliensis ((Quoy & Gaimard, 1824)UFRGS 20919; 72.5 mm SL), p. Characidium pterostictum Gomes, 1947 (UFRGS 18563; 55 mm SL), q. Oligosarcus hepsetus ((Cuvier, 1829) UFRGS 18571; 65 mm SL), r. Atlantirivulus cf. luelingi ((Seegers, 1984) UFRGS 21033; 31.5 mm SL), s. Gymnotus pantherinus ((Steindachner, 1908) UFRGS 20928; 186 mm SL), and t. Pseudotothyris ignota Martins, Britski & Langeani, 2014 (UFRGS 20934; 33.2 mm SL). Photo credits: Tiago P. Carvalho.
Data from: The effects of river algae and porewater flow on the feeding of juvenile mussels
<p class="Abstract">Juvenile mussels enter the benthos after excysting from a fish host and settling to the bottom where they inhabit the interstitial zone in rivers. We examined the algal composition in the surface water and pore waters in different locations in a temperate river (Thames River) in Southern Ontario. Surprisingly, algal concentration (<i>C</i>) was ~9× higher in pore water versus surface water, varied spatially in the riverbed (downstream of boulders > upstream of boulders and non-bedform regions), and pennate diatoms were the most abundant taxon in the pore waters. We examined the clearance rate (<i>CR</i>; mass of suspended material removed from the water per unit time and mussel) of recently metamorphosed juvenile unionid mussels (3 – 4 week old <i>Lampsilis siliquoidea,</i> Fatmuckets) exposed to pore water and surface water in a paddle-wheel flow chamber at different water velocities (<i>U</i>). Juvenile <i>CR</i> based on chlorophyll <i>a</i> fluorescence was ~2× higher on pore water versus surface water and <i>CR</i> based on a specific algal taxon, identified via flow cytometry, varied with its initial concentration. Chesson's feeding electivity index revealed that mussels removed 5 chlorophyte taxa in proportion to their concentration in the water (i.e., removed at random) but they removed 5 diatom taxa in greater proportion (i.e., selected for by juvenile mussels) across the range of algal flux (<i>J</i> = <i>UC</i>) examined. This study provides evidence of the importance of diatoms in pore waters to juvenile mussels. It also reveals elements of the physico-chemical environment used by juvenile mussels, which should be considered in their conservation.</p>
A physical model for mean river discharge calculation: from riverside seismic monitoring experiments in a low-flow river, China
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Productivity of riparian Populus forests: satellite assessment along a prairie river with an environmental flow regime
<p>In semi-arid regions, the growth and survival of cottonwoods (riparian Populus species) depend on river water supplementing the limited precipitation. Indicators of growth and productivity are needed to assess how altered streamflow regimes on regulated rivers impact cottonwood trees and the riparian forest ecosystems they support. Satellite imagery from the Landsat program was used to make historical assessments of ecosystem productivity in a riparian cottonwood forest along a regulated prairie river in southern Alberta, Canada from 1984 to 2020, with an environmental flow regime that increased the minimum flows implemented in 1993. A version of the near-infrared reflectance of vegetation scaled with incoming sunlight (NIRvP) was calculated from Landsat images to provide a proxy for primary production. NIRvP was validated against gross primary production measurements from eddy covariance and cottonwood basal area increment measurements from tree ring analyses. Streamflow and weather data were used to assess what environmental conditions drive year-to-year variations in NIRvP.</p>
Yangtze River Basin flow data from 1950 to 2023
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Raw data for "Unsteady secondary flow structure at a large river confluence"
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Data in the paper Accuracy Evaluation of River Surface Flow Field Measurement Methods based on Satellite Video
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Experimental study of flow and sediment transport in a river confluence with ice cover
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Fig. 3. Fish assemblage ordination resulting from a in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 3. Fish assemblage ordination resulting from a CA analysis using species (a), family (b), trophic guild (c), and MOS (d) descriptors in the upstream site, Comté River. Bold text indicates the species, family, trophic guild or MOS which contributes most to axes. Dots = samples taken during high waters; triangles = samples taken during low waters. Numbers correspond to fish species in Table 1. Axis scales are indicated in the small box.
Fig. 9 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 9. Bujurquina omaguasp. nov., black and white photos of preserved specimens. A. Holotype (MUSM 70225, ID tag 1189), 97.4 mm. B. Paratype (MUSM 70226, P18-17_1190), 98.9 mm. C. Paratype (MUSM 70221, P18-15_1182), 78.7 mm.
Fig. 11 in A new highly apomorphic species of Bujurquina (Teleostei: Cichlidae) from a reverse flowing river in the Peruvian Amazon, with a key to the species in the genus
Fig. 11. Type localities of Bujurquina omagua sp. nov. A–B. P18-15, Qebrada Sabalillo on trail from mouth, (3°27´45.6˝ S, 72°29´22.5˝ W), 27th June 2018. C. P18-16, cabeceras of Quebrada Sabalillo, lower loc. (3°27´17.5˝ S, 72°29´22.8˝ W), 28th June 2018. D. P18-17, holotype locality, cabeceras of Quebrada Sabalillo, upper loc. (3°27´08.4˝ S, 72°29´11.8˝ W), 28th June 2018. E. P18-21, small unnamed quebrada just before entering Oran creek, (3°27´21.2˝ S, 72°30´43.2˝ W), 3rd July 2018.
Ag Germanos River Flow
<p>Flow rate in Agios Germanos River 2013-2015, 2018-2021</p>
Productivity of riparian Populus forests: satellite assessment along a prairie river with an environmental flow regime
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Data from: Low reproductive isolation and highly variable levels of gene flow reveal limited progress toward speciation between European river and brook lampreys
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Data for: Sociality and signaling activity modulate information flow in river otter communication networks
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Data from: The effects of river algae and porewater flow on the feeding of juvenile mussels
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Dataset: Daily Flows and Nutrients Loads in the Sprague River Basin, WY2002-2020
<p>Daily flows and nutrient (phosphorus, nitrogen, total suspended solids) loads were estimated for multiple locations in the Sprague River Basin (OR) over water year (WY) 2002-2020. These timeseries were computed using continuous and biweekly flow data in combination with biweekly nutrient measurements collect by Klamath Tribes at eight sampling stations across the basin. The estimated timeseries were then used as a basis to investigate the spatial and temporal dynamics of nutrient concentrations and loads, estimate relative amounts of background and anthropogenic loading, assess the potential impacts of the Klamath Tribes' water rights calls on instream flow and water quality in recent years, and evaluate long-term trends at each sampling station within the Sprague River basin.</p> <p>The data sources and methodologies used to generate this dataset are described in the following report:</p> <blockquote> <p>Walker, J.D. and J. Kann (2022). Spatial and Temporal Nutrient Loading Dynamics in the Sprague River Basin, OR, Water Years 2002 – 2020. Technical Report prepared for the Klamath Tribes Natural Resources Department. 114p. + appendices. <a href="https://doi.org/10.5281/zenodo.7377353">https://doi.org/10.5281/zenodo.7377353</a></p> </blockquote> <p>Source code available here: <a href="https://github.com/walkerjeffd/sprague-nutrient-dynamics">https://github.com/walkerjeffd/sprague-nutrient-dynamics</a></p> <p>See README.txt for details about each file including column descriptions.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.